Using random forest estimation, we identify 14 key predictors out of 190 variables with the largest predictive power for MSMR adoption and usage of digital payments. Using conditional inference trees, we study the importance of sequencing and interactions of various factors such as public sector initiatives, technological advancements, and private...
Using a unique administrative level dataset from a large and diverse U.S. financial institution, Agarwal, Chakravorti, and Lunn test the impact of rewards on credit card spending and debt. Specifically, we study the impact of cash-back rewards on individuals before and during their enrollment in the program. We find that...
In this article, Chakravorti asks why have general-purpose stored-value cards been unsuccessful in penetrating the U.S. market? Three necessary conditions for a payment instrument to be successful are discussed: consumers and merchants need to be convinced of its advantages over existing payment alternatives for at least some types of transactions...